Searching for semantic person queries using channel representations

Denman, Simon, Halstead, Michael, Fookes, Clinton B., & Sridharan, Sridha (2015) Searching for semantic person queries using channel representations. In Proceedings of the 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015, IEEE, Brisbane Convention and Exhibition Centre, Brisbane, QLD, pp. 1568-1572.

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Abstract

It is not uncommon to hear a person of interest described by their height, build, and clothing (i.e. type and colour). These semantic descriptions are commonly used by people to describe others, as they are quick to relate and easy to understand. However such queries are not easily utilised within intelligent surveillance systems as they are difficult to transform into a representation that can be searched for automatically in large camera networks. In this paper we propose a novel approach that transforms such a semantic query into an avatar that is searchable within a video stream, and demonstrate state-of-the-art performance for locating a subject in video based on a description.

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ID Code: 81997
Item Type: Conference Paper
Refereed: Yes
Keywords: Semantic Search, Object Tracking, Localisation, Channel Representation
DOI: 10.1109/ICASSP.2015.7178234
ISBN: 978-1-4673-6997-8
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2015 IEEE
Deposited On: 24 Feb 2015 22:57
Last Modified: 15 Sep 2015 17:30

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